| Title |
A Hybrid Deep Learning Architecture for Latent Topic-based Image Retrieval
|
|---|---|
| Published in |
Data Science and Engineering, April 2018
|
| DOI | 10.1007/s41019-018-0063-7 |
| Authors |
K. S. Arun, V. K. Govindan |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 2 | 22% |
| Student > Master | 2 | 22% |
| Student > Doctoral Student | 1 | 11% |
| Unspecified | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 44% |
| Engineering | 2 | 22% |
| Unspecified | 1 | 11% |
| Design | 1 | 11% |
| Unknown | 1 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2018.
All research outputs
#14,979,439
of 23,041,514 outputs
Outputs from Data Science and Engineering
#28
of 39 outputs
Outputs of similar age
#198,796
of 328,968 outputs
Outputs of similar age from Data Science and Engineering
#2
of 2 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 39 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one scored the same or higher as 11 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.